Lead Data Scientist

Job description

Role - Sr Data Science Lead(GEN AI Developer) Location - Noida/Pune/Mumbai/Bengaluru/Hyderabad Notice Period - Only Immediate joiners with be consider • Must have 8+ years of experience. Mostly in Data science, AI ML, GenAI and NLP technologies. • At least 2+ years in GenAI application development • Experts in problem solving, developing technical solutions • Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP, Tools register, intent based routing etc. • Expert in using paid (OpenAI on Azure, Bedrock in AWS) and open source LLMs, VLM, SLM etc • Expert in RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP, NLQ to SQL etc. • Experience in handling large unstructured (multiple file formats) and structured (data Lake) data • DAR for applying best solution for problem statements • Strong understanding of Agents development • Experience with Python programming language. Should know other languages too • Ability to develop Python code efficiently, FastAPI • Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment. • Enforce reusable component development and sharing across solutions • Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments • Very good understanding of Prompt engineering techniques in developing Instruction based LLMs. • Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs. • Passionate to learn and stay updated with the latest advancements specially in generative AI and LLM. • Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. • Experience developing Guardrails for LLMs both with open source and cloud native models. • Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. • Experience in RDBMS database, Data Lake, Postgresql • Experience on Marklogic / No SQL database • Experience on Elastic search